Ayan Jawaid

Key Skills

Software

iMerit

Top Subject Matter

Computer Vision / Image Annotation

AI Training & Data Labeling

Content Moderation & Evaluation

Top Data Types

Text

Image

Document

Top Task Types

Classification

Segmentation

Entity Ner Classification

Evaluation Rating

Freelancer Overview

I am an AI training associate with experience in data labeling and annotation projects, gained through my work at iMerit. My responsibilities included image classification, preference tagging, evaluation, and rating, ensuring datasets were accurately prepared for machine learning workflows. I worked extensively with the Ango tool for annotation and productivity tracking, and submitted precise timesheets via Worksuite to maintain compliance with client standards. My strengths include attention to detail, quality‑focused execution, and guideline compliance. I have successfully completed training modules, guideline reviews, and post‑assessments, consistently delivering accurate results within strict productivity requirements. With a Master's Degree in computer application (MCA) and specialization in data science & machine learning, I bring both technical knowledge and practical annotation expertise to AI training projects.

Labeling Experience

AI Training Associate

ImageClassification

I worked on the Nidra_Image Preference Workflow (WF10) project at iMerit, where my responsibilities included: • Image Classification & Preference Tagging: Categorizing images and marking preferences based on detailed client guidelines. • Evaluation & Rating: Reviewing visual content and assigning ratings to ensure quality and consistency. • Annotation & Active Tagging: Using the Ango tool to annotate, search, and tag content while minimizing idle time (90‑second cap). • Guideline Compliance & Training: Participated in guideline review sessions, training modules, and post‑assessment activities prior to live production. • Timesheet Accuracy: Submitted day‑wise productive hours via Worksuite, converting decimal hours into minutes for precise reporting. This project helped me build strong expertise in image annotation, evaluation, classification, and productivity tracking for AI training datasets

I worked on the Nidra_Image Preference Workflow (WF10) project at iMerit, where my responsibilities included: • Image Classification & Preference Tagging: Categorizing images and marking preferences based on detailed client guidelines. • Evaluation & Rating: Reviewing visual content and assigning ratings to ensure quality and consistency. • Annotation & Active Tagging: Using the Ango tool to annotate, search, and tag content while minimizing idle time (90‑second cap). • Guideline Compliance & Training: Participated in guideline review sessions, training modules, and post‑assessment activities prior to live production. • Timesheet Accuracy: Submitted day‑wise productive hours via Worksuite, converting decimal hours into minutes for precise reporting. This project helped me build strong expertise in image annotation, evaluation, classification, and productivity tracking for AI training datasets

2026 - 2026

AI Training Associate – iMerit (Freelance / Remote)

ImeritText

As an AI Training Associate at iMerit, I contributed directly to improving large language model (LLM) accuracy through structured feedback processes. My responsibilities included prompt testing, model evaluation, and response quality assessment, which supported the enhancement of AI model performance. I also assisted in dataset improvement workflows as part of the AI training process. • Implemented prompt testing to evaluate AI model responses. • Provided structured feedback to refine LLM outputs and overall accuracy. • Participated in dataset analysis and improvement tasks. • Used proprietary remote workflow tools as part of iMerit's AI training infrastructure.

As an AI Training Associate at iMerit, I contributed directly to improving large language model (LLM) accuracy through structured feedback processes. My responsibilities included prompt testing, model evaluation, and response quality assessment, which supported the enhancement of AI model performance. I also assisted in dataset improvement workflows as part of the AI training process. • Implemented prompt testing to evaluate AI model responses. • Provided structured feedback to refine LLM outputs and overall accuracy. • Participated in dataset analysis and improvement tasks. • Used proprietary remote workflow tools as part of iMerit's AI training infrastructure.

Not specified

Education

Work History